Nadia Gul

944 total citations
13 papers, 676 citations indexed

About

Nadia Gul is a scholar working on Neurology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Nadia Gul has authored 13 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Nadia Gul's work include Brain Tumor Detection and Classification (8 papers), Advanced Neural Network Applications (5 papers) and COVID-19 diagnosis using AI (3 papers). Nadia Gul is often cited by papers focused on Brain Tumor Detection and Classification (8 papers), Advanced Neural Network Applications (5 papers) and COVID-19 diagnosis using AI (3 papers). Nadia Gul collaborates with scholars based in Pakistan, Lebanon and United States. Nadia Gul's co-authors include Javaria Amin, Muhammad Sharif, Muhammad Almas Anjum, Shafqat Ali Shad, Mussarat Yasmin, Muhammad Wasif Nisar, Seifedine Kadry, Syed Muhammad Anwar, Muhammad Majid and Muhammad Nadeem Majeed and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition Letters and Neural Computing and Applications.

In The Last Decade

Nadia Gul

11 papers receiving 643 citations

Peers

Nadia Gul

NEURO

CVPR

RNMI

ONCOL

Sarmad Maqsood Lithuania

Ikram Ullah Lali Pakistan

Ahsan Bin Tufail Pakistan

Haoyuan Chen China

Shafqat Ali Shad United States

Noor Ayesha China

Yousry AbdulAzeem Egypt

Shahzad Akbar Pakistan

Yin Dai China

Yuanyuan Chen China

Sarmad Maqsood Lithuania

Nadia Gul

216 ×0.6

NEURO

293 ×0.9

310 ×1.2

CVPR

225 ×1.2

RNMI

80 ×1.0

ONCOL

Citations per year, relative to Nadia Gul Nadia Gul (= 1×) peers Sarmad Maqsood

Countries citing papers authored by Nadia Gul

Since Specialization

Citations

This map shows the geographic impact of Nadia Gul's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nadia Gul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadia Gul more than expected).

Fields of papers citing papers by Nadia Gul

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nadia Gul. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nadia Gul. The network helps show where Nadia Gul may publish in the future.

Co-authorship network of co-authors of Nadia Gul

This figure shows the co-authorship network connecting the top 25 collaborators of Nadia Gul. A scholar is included among the top collaborators of Nadia Gul based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nadia Gul. Nadia Gul is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

Gul, Nadia, et al.. (2025). Dual-method for semantic and instance brain tumor segmentation based on UNet and mask R-CNN using MRI. Neural Computing and Applications. 37(14). 8415–8433. 1 indexed citations

Amin, Javaria, Muhammad Almas Anjum, Nadia Gul, et al.. (2023). Localization model and rank-based features selection approach for the classification of GGO and consolidation stages of COVID-19. Expert Systems with Applications. 239. 122317–122317. 4 indexed citations

Amin, Javaria, et al.. (2023). J-Net:Convolutional Neural Network based on Grey Binary Wolf Optimization Model for Classification of Skin Lesion. 1–7.

Gul, Nadia, et al.. (2023). Prediction of Successful Induction of Labour jointly using Bishop Score and Transvaginal Sonography in Primigravida Women in Pakistan. 19(2). 141–146.

Amin, Javaria, Muhammad Almas Anjum, Nadia Gul, Muhammad Sharif, & Seifedine Kadry. (2023). Clinically acquired new challenging dataset for brain SOL segmentation: AJBDS-2023. Data in Brief. 52. 109915–109915. 2 indexed citations

Tummala, Sudhakar, Seifedine Kadry, Ahmed Nadeem, Hafiz Tayyab Rauf, & Nadia Gul. (2023). An Explainable Classification Method Based on Complex Scaling in Histopathology Images for Lung and Colon Cancer. Diagnostics. 13(9). 1594–1594. 39 indexed citations

Amin, Javaria, Muhammad Almas Anjum, Nadia Gul, & Muhammad Sharif. (2023). Detection of brain space-occupying lesions using quantum machine learning. Neural Computing and Applications. 35(26). 19279–19295. 8 indexed citations

Amin, Javaria, Muhammad Almas Anjum, Nadia Gul, & Muhammad Sharif. (2022). A secure two-qubit quantum model for segmentation and classification of brain tumor using MRI images based on blockchain. Neural Computing and Applications. 34(20). 17315–17328. 29 indexed citations

Amin, Javaria, Muhammad Sharif, Nadia Gul, Seifedine Kadry, & Chinmay Chakraborty. (2021). Quantum Machine Learning Architecture for COVID-19 Classification Based on Synthetic Data Generation Using Conditional Adversarial Neural Network. Cognitive Computation. 14(5). 1677–1688. 83 indexed citations

10.

Amin, Javaria, Muhammad Sharif, Nadia Gul, et al.. (2019). Brain Tumor Detection by Using Stacked Autoencoders in Deep Learning. Journal of Medical Systems. 44(2). 32–32. 130 indexed citations

11.

Amin, Javaria, Muhammad Sharif, Nadia Gul, Mussarat Yasmin, & Shafqat Ali Shad. (2019). Brain tumor classification based on DWT fusion of MRI sequences using convolutional neural network. Pattern Recognition Letters. 129. 115–122. 165 indexed citations

12.

Amin, Javaria, Nadia Gul, Muhammad Almas Anjum, et al.. (2019). Integrated design of deep features fusion for localization and classification of skin cancer. Pattern Recognition Letters. 131. 63–70. 98 indexed citations

13.

Anwar, Syed Muhammad, et al.. (2018). Multi-class Alzheimer's disease classification using image and clinical features. Biomedical Signal Processing and Control. 43. 64–74. 117 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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